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Bat Echolocation Researc h - Bat Conservation International

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Section 2: Acoustic Inventories<br />

Figure 10: A mobile survey with a focus on what is perceived as ‘good’ bat habitat will lead to an assessment<br />

which is different from stationary set ups. The mobile approach will lead to a good cover of the batoccurrence<br />

landscape use in an area (A, C), whereas the stationary set up can provide detailed, quantitative<br />

data regarding the sample point (B, D). The observed spectrum of species might differ, where the<br />

mobile approach provides the opportunity to investigate particular habitats for target species.<br />

(Table 3, Fig 8). This summary<br />

can serve as a tool for selecting<br />

appropriate detectors. As examples<br />

at different ends of the spectrum<br />

of typical applications, questions<br />

that concern biogeography<br />

or the presence of a species in different<br />

habitats (upper left corner,<br />

Table 3, Fig. 8), require discriminative<br />

parameters of calls, but it is<br />

not necessary to identify all calls<br />

or to necessarily have the best<br />

characterization possible of call<br />

features. If large areas are to be<br />

surveyed, high mobility and several<br />

observers are needed, suggesting<br />

the need for multiple<br />

detectors of relatively low cost. In<br />

this situation, a successful<br />

approach could involve heterodyne<br />

detectors supported by<br />

some sets of TE or FD detectors<br />

for recording and back-up analysis<br />

(Fig. 9; Limpens et al. 1997).<br />

In contrast, questions about ecology and differences in<br />

echolocation calls within the context of how species fit<br />

into feeding guilds (upper right corner, Table 3, Fig. 8)<br />

demand high-quality recordings with the best acoustic<br />

information possible. Between the ‘extremes’ in the<br />

upper left and upper right corners of Table 3, different<br />

research approaches are possible. These approaches<br />

include surveys or transects with heterodyne detectors<br />

and combinations of heterodyne with FD or TE for<br />

back-up analysis (Limpens 1993; Walsh and Catto 1999;<br />

Walsh and Harris 1996a, 1996b), to setups with arrays of<br />

stationary systems involving TE, FD, or heterodyne<br />

detectors generating automated recordings on DAT or<br />

computer (Britzke et al. 1999; Jones et al. 2000).<br />

Where habitat use is the focus, a number of stationary<br />

detectors (i.e., sample points) may be the most<br />

appropriate. It is worth noting that an expensive detector<br />

at a fixed position will not monitor all habitats<br />

around the sample position equivalently, and sampling<br />

bias could lead to a different spectrum of species<br />

observed. Nor will the detector document differences in<br />

echolocation behavior in relation to flight patterns within<br />

various habitat features around the sampling point. In<br />

such cases, the use of stationary detectors on fixed sample<br />

points coupled with observers with the capability of<br />

TE recordings, would be complementary.<br />

Recent work demonstrates that studies of habitat use<br />

must take into consideration that bats use different strata,<br />

ranging from near the ground, to thousands of meters<br />

above the ground (Fenton and Griffin 1997; Griffin and<br />

Thompson 1982; McCracken 1996; Menzel et al. 2000).<br />

Because of the remote nature of altitudinal surveys, visual<br />

observation to enhance identification and tuning of<br />

the heterodyne system are difficult or impossible. Therefore,<br />

the use of broadband detectors is advisable.<br />

Although the detection range is limited, frequency-division<br />

systems seem most applicable to remote monitoring<br />

of bat activity because they are continuously monitoring<br />

the landscape. Where species identification is required,<br />

time-expansion systems may be preferred because they<br />

provide maximum information. In a time-expansion/heterodyne<br />

combination, the latter system continuously<br />

monitors the landscape, thus compensating for the timesampling<br />

and non-real-time performance required of the<br />

time-expansion system.<br />

In situations where bat activity is within, above, or<br />

near structures, such as roads, tunnels, wind power utility<br />

structures, caves, etc., relatively simple stationary<br />

automated setups with heterodyne detectors and signalactivated<br />

recorders can be effective, with the use of time<br />

expansion for back-up recording of high quality signals<br />

(e.g. Bach and Burkhardt 2000; Bach et al. 1999, 2001;<br />

Rahmel et al. 1999).<br />

Long-term observations are needed to document<br />

changes in activity patterns and trends over the course<br />

of seasons or years (Table 3, Fig. 8). Such studies might<br />

concentrate on where stationary setups are feasible.<br />

Where activity patterns and trends in populations in<br />

larger areas are involved, larger numbers of sample<br />

points, transects, or observers are needed. These characteristics<br />

require low profile and low cost approaches,<br />

where an accurate assessment of relative bat density<br />

rather than high-tech processing of sound is needed.<br />

Here again, heterodyne detectors, supported by some<br />

sets of time-expansion (or frequency-division) detectors<br />

for recording and back-up analysis can be a successful<br />

approach (Walsh and Harris 1996a, 1996b; Walsh and<br />

Catto 1999; de Wijs 1999).<br />

35

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